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Covers image processing techniques including noise addition, filtering, and image enhancement using various filters and tools.
Covers adjusting brightness, contrast, applying filters, and analyzing Fourier transforms for image enhancement.
Explores phase transitions in signal processing, demonstrating their impact on signal reconstruction and the application of threshold algorithms in image denoising.
Covers scientific image processing fundamentals, software practices, and ethical considerations in image processing.
Covers the basics of image processing for microscopy, including acquiring, correcting defects, enhancing images, and extracting information.
Covers denoising and reconstructing images using total variation minimization and discusses the visual effects of different regularization strengths.
Delves into photography style transfer, showcasing how algorithms can transform images to mimic different styles and enhance photos.
Covers the basics of image processing using Fiji software, focusing on managing files and applying filters.
Introduces the basics of image processing, covering point and spatial operators, histogram processing, and transform-domain operations.
